Remote Databricks Data Engineer — Pipelines & Data Lakes

Eliassen Group; Olympia (WA); Remoto; USD 150.000 - 154.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Pre-tax accounts

Life and disability insurance

Sick time

Descrizione del lavoro

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines and data systems for a remote, permanent role in the United States.

You will collaborate with machine learning engineers, software engineers, data scientists, and analysts to deliver data products and support internal data practices. The role requires 5+ years of data engineering and expertise in Python, SQL, Databricks, Spark on AWS.

Competenze

• Five+ years of data engineering experience.
• Expert proficiency in Python, SQL, Databricks, and Spark.
• Experience building cloud-based data pipelines in AWS.
• Knowledge of data governance, security, privacy, and retention practices.

Mansioni

• Design and maintain data pipelines, infrastructure, and systems.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Provide mentorship to junior data engineers.
• Develop and implement data engineering standards and best practices.
• Monitor and troubleshoot data pipelines to ensure data quality, integrity, and availability.
• Research industry trends and evaluate new data technologies.
• Build and maintain data lakes to support analytics and BI.
• Manage the software development life cycle and DevOps activities.
• Partner with data scientists and analysts to deliver data solutions.
• Develop data validation and data analysis tools.

Conoscenze

Python

SQL

Databricks

Spark

AWS

Jira

Git

Docker

CI tools

Communication

Collaboration

Problem solving

Agile

Formazione

Bachelor's degree

Master's degree

Strumenti

Databricks

PostgreSQL

Jenkins

Docker

Git

Jira

Descrizione del lavoro

Eliassen Group is seeking a Databricks Data Engineer to design, build, and maintain scalable data pipelines and data systems for a remote, permanent role in the United States.

You will collaborate with machine learning engineers, software engineers, data scientists, and analysts to deliver data products and support internal data practices. The role requires 5+ years of data engineering and expertise in Python, SQL, Databricks, Spark on AWS.